accents in conversational speech
Báo cáo khoa học: "Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech" pptx
Ngày tải lên :
08/03/2014, 04:22
... CRF:All in Table
5). We get about 0.5% increase in accuracy, 76.1%
with a window of size w = 1.
Using larger windows resulted in minor increases
in the performance of the model, as summarized in
Table ... 17th International Conference on Machine
Learning.
A. McCallum. 2003. Efficiently inducing features
of Conditional Random Fields. In Proc. of Un-
certainty in Articifical Intelligence.
T. Minka. ... understanding.
In this paper we investigate probabilistic, contex-
tual, and phonological factors that in uence pitch
accent placement in natural, conversational speech
in a sequence labeling setting....
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Tài liệu Báo cáo khoa học: "Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies" docx
Ngày tải lên :
20/02/2014, 16:20
... monitor-
ing levels of agreement during a conversation. In
Proc. of the 26th Penn Linguistics Colloquium.
M. Collins. 2000. Discriminative reranking for nat-
ural language parsing. In Proc. 17th Interna-
tional ... Entropy Ranking
We view the problem as an instance of statisti-
cal ranking, a general machine learning paradigm
used for example in statistical parsing (Collins,
2000) and question answering (Ravichandran ... several empirical analyses in or-
der to determine to what extent contextual informa-
tion helps in discriminating between agreement and
disagreement. By integrating the interpretation of
the pragmatic...
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Tchon 12. COMMANDS, REQUESTS AND ADVICE IN REPORTED SPEECH.doc
Ngày tải lên :
08/07/2013, 01:27
... SPEECH
Imperatives Direct speech Indirect speech
Affirmative
Imperative
V
1
+ ……
Mike said to Henry, “Come in, please.”
S+ told / asked B + to + V
1
+ ……
Mike told Mary to come in.
Negative
Imperative
Don’t ... Last week / year
→
The next/ following day
→
The day before
→
The following week/ year
→
The previous week / year
B. Practice: I. Change into reported speech: (Imperatives: Câu mệnh lệnh)
1. ... She said to them, “Can you go fishing with me?”
III. Change into reported speech: (Advice: Câu khuyên nhủ)
11.The doctor said to the patient, “You should stay in bed today.”
12.The teacher...
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Tài liệu Báo cáo khoa học: "Modeling Latent Biographic Attributes in Conversational Genres" pptx
Ngày tải lên :
20/02/2014, 07:20
... training data and the ngram-based model
was retrained on the remaining subset.
Figure 2: Empirical differences in sociolinguistic features
for Gender on the Switchboard corpus
6 Incorporating ... speakers used
for training and 100 speakers used for testing, re-
sulting in a total of 4062 conversation sides for
training and 808 conversation sides for testing.
4 Modeling Gender via Ngram ... conversation, resulting in the
same number of training/test speakers as conver-
sations, and thus there was no overlap in speak-
ers/partners between training and test sets. Only
non-lexical sociolinguistic...
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Báo cáo khoa học: "Transparent combination of rule-based and data-driven approaches in a speech understanding architecture" pot
Ngày tải lên :
08/03/2014, 21:20
... The decoding pro-
cess proceeds as follows:
3.1 Training and decoding
Training data for
ALTERF
is supplied in the form
of a text file containing one example per line, in
the format
1. Initialise ... features.
•
Quantity of training data.
•
Modality (text or speech) of training data.
We randomly divided the training corpus into
ten equal pieces, and trained on subsets ranging
from 10% of the corpus ... Percentage semantic interpretation errors
on in- domain test data for different amounts of
training data and different versions of the system.
Training and test data both in speech form. "Data"
=...
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Báo cáo khoa học: "Reconstructing false start errors in spontaneous speech text" ppt
Ngày tải lên :
08/03/2014, 21:20
... utterances used in
training. In some experiments (#1 and 2) we
trained with the entire training set
3
, including sen-
tences without speaker errors, and in others (#3-6)
we trained only on those ... Jelinek. 2008. Linguis-
tic resources for reconstructing spontaneous speech
text. In Proceedings of the Language Resources and
Evaluation Conference, May.
Erin Fitzgerald. 2009. Reconstructing ... ig-
nored for these error tagging experiments.
We approach our training of CRFs in several
ways, detailed in Table 3. In half of our exper-
iments (#1, 3, and 4), we trained a single model
to predict...
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Báo cáo khoa học: "THE SIMULATION OF STRESS PATTERNS IN SYNTHETIC SPEECH" ppt
Ngày tải lên :
09/03/2014, 01:20
... examined in
principle, but without going too deeoly into the
code.
3.1 Sentence Processing
Firstly, the user types in a sentence in
normal English text, with word boundaries
ind/cated in ... that an increase in intensity
with no corresponding pitch increase was never-
theless heard as a pitch raise. Interestingly
enough, a drop in intensity was not heard as a
drop in pitch, merely ... This is
indeed true in a great number of cases, but by no
means all, as pointed out by Bolinger (Bolinger
1958). For instance, consider the following phrase
(taken to mean "do continue"):...
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Báo cáo khoa học: "WordNet-based Semantic Relatedness Measures in Automatic Speech Recognition for Meetings" doc
Ngày tải lên :
17/03/2014, 04:20
... prediction in conversational speech. In IWCS
6, Sixth International Workshop on Computational Se-
mantics, Tilburg, Netherlands.
H Schmid. 1994. Probabilistic part-of -speech tagging
using decision ... information.
In this paper the best performing measures
from (Pucher, 2005), which outperform baseline
models on word prediction for conversational tele-
phone speech are used for Automatic Speech ... taxonomy.
In Proceedings of the International Conference on Re-
search in Computational Linguistics, Taiwan.
Ted Pedersen, S. Patwardhan, and J. Michelizzi. 2004.
WordNet::Similarity - Measuring the...
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Báo cáo khoa học: "User Expertise Modelling and Adaptivity in a Speech-based E-mail System" doc
Ngày tải lên :
23/03/2014, 19:20
... Modelling and Adaptivity
in a Speech- based E-mail System
Kristiina JOKINEN
University of Helsinki
and
University of Art and Design Helsinki
Hämeentie 135C
00560 Helsinki
kjokinen@uiah.fi ...
speech- based dialogue systems, and to familiarize
themselves to synthesized speech and speech
recognizers, they had a short training session with
another speech application in the beginning ...
user expertise. While not entering into discussions
about the limits of rule-based thinking (e.g. in
order to model intuitive decision making of the
experts according to the Dreyfus model), we...
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Báo cáo khoa học: "LEXICAL ACCESS IN CONNECTED SPEECH RECOGNITION" pptx
Ngày tải lên :
24/03/2014, 02:20
...
warranted because the resulting system will be
considerably more robust in the face of
inacct~rate
or
indeterminate input concerning the nature of the weak
syllables in the input utterance.
CONCLUSION ... distinguish word.initial/I/
in/ 17/fzom
word-inlernal /I/ in /hid/?
In this paper, I shall argue for a model which splits
the lexical access process into a pre-lexical phonological
parsing ... 'narrow'
phonetic information is recovered from the signal, such
as aspiration of M in/ rE/ and /tam/ in
(1) in order
m
recoguise tim preceding syllable botmdsrles. It is only
in.
terms of this...
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Direct and Indirect speech acts in English
Ngày tải lên :
10/04/2013, 10:37
...
speech acts motivated by indirect speech acts and finally indirect speech acts
motivated by indirect speech acts.
The proportion of individual types in the play is outlined in the following ... direct speech acts, indirect speech acts motivated by direct speech acts,
direct speech acts motivated by indirect speech acts and finally indirect speech acts
motivated by indirect speech ... interesting from the point of view of indirectness.
The play contains four types of exchanges: direct speech acts motivated by
direct speech acts, indirect speech acts motivated by direct speech...
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Vietnamese Speech Recognition and Synthesis in Embedded System Using T-Engine
Ngày tải lên :
12/04/2013, 16:05
... quality of speech engines. Finally, we demonstrate
a human-computer interaction software in T-Engine embedded
system.
I. INTRODUCTION
In this paper, we are concerned with the combination of speech ... layout
III. PROPOSED METHOD FOR SPEECH RECOGNITION IN
T-ENGINE
Fig.2. Speech recognition in T-Engine
The UDA1342 audio codec in T-Engine provides a minimal
sampling frequency (SF) of 44100Hz. ... as follows. In Section 2, a short
introduction of T-Engine is given, while a method proposed for
speech recognition in T-Engine is provided in Section 3,
following is Vietnamese speech synthesis...
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